Handedness Matters for Motor Control But Not for Prediction.


Journal

eNeuro
ISSN: 2373-2822
Titre abrégé: eNeuro
Pays: United States
ID NLM: 101647362

Informations de publication

Date de publication:
Historique:
received: 06 04 2019
revised: 11 05 2019
accepted: 15 05 2019
pubmed: 30 5 2019
medline: 31 3 2020
entrez: 30 5 2019
Statut: epublish

Résumé

Skilled motor behavior relies on the ability to control the body and to predict the sensory consequences of this control. Although there is ample evidence that manual dexterity depends on handedness, it remains unclear whether control and prediction are similarly impacted. To address this issue, right-handed human participants performed two tasks with either the right or the left hand. In the first task, participants had to move a cursor with their hand so as to track a target that followed a quasi-random trajectory. This hand-tracking task allowed testing the ability to control the hand along an imposed trajectory. In the second task, participants had to track with their eyes a target that was self-moved through voluntary hand motion. This eye-tracking task allowed testing the ability to predict the visual consequences of hand movements. As expected, results showed that hand tracking was more accurate with the right hand than with the left hand. In contrast, eye tracking was similar in terms of spatial and temporal gaze attributes whether the target was moved by the right or the left hand. Although these results extend previous evidence for different levels of control by the two hands, they show that the ability to predict the visual consequences of self-generated actions does not depend on handedness. We propose that the greater dexterity exhibited by the dominant hand in many motor tasks stems from advantages in control, not in prediction. Finally, these findings support the notion that prediction and control are distinct processes.

Identifiants

pubmed: 31138661
pii: ENEURO.0136-19.2019
doi: 10.1523/ENEURO.0136-19.2019
pmc: PMC6557034
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2019 Mathew et al.

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Auteurs

James Mathew (J)

Aix Marseille Univ, CNRS, INT, Institut Neurosci Timone, 13005 Marseille, France.

Fabrice R Sarlegna (FR)

Aix Marseille Univ, CNRS, ISM, 13009 Marseille, France.

Pierre-Michel Bernier (PM)

Département de Kinanthropologie, Université de Sherbrooke, Sherbrooke J1k 2R1, Québec, Canada.

Frederic R Danion (FR)

Aix Marseille Univ, CNRS, INT, Institut Neurosci Timone, 13005 Marseille, France frederic.danion@univ-amu.fr.

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